Jay C. Smith

435 citations
30 papers · 334 · h-index 11

Impact in

Papers in

Jay C. Smith

29 papers receiving 311 citations

Peers

Jay C. Smith
Comparison fields: 5 of 30
  • Hardware and Architecture 100
  • Computer Networks and Communications 191
  • Information Systems 110
  • Industrial and Manufacturing Engineering 33
  • Applied Psychology 3
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Countries citing papers authored by Jay C. Smith

Since Specialization
Citations

This map shows the geographic impact of Jay C. Smith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jay C. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay C. Smith more than expected).

Fields of papers citing papers by Jay C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay C. Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jay C. Smith. The network helps show where Jay C. Smith may publish in the future.

Co-authors

The 18 scholars most cited alongside Jay C. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay C. Smith Line = papers co-authored together Jay C. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200857
2 201632
3 200730
4 200623
5 200722
6 201222
7 201419
8 201116
9
Informing system design through organizational learning
199613
10 200912
11 201312
12 201110
13 19879
14 20088
15
Greedy Approaches to Static Stochastic Robust Resource Allocation for Periodic Sensor Driven Distributed Systems.
20067
16 20097
17 19856
18 19944
19 20114
20 20134

About Jay C. Smith

Jay C. Smith is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Education and Human Factors and Ergonomics, having authored 30 papers that have together received 334 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (23 papers), Cloud Computing and Resource Management (9 papers), Real-Time Systems Scheduling (6 papers), Parallel Computing and Optimization Techniques (2 papers), Energy Efficiency in Computing (2 papers), Adult and Continuing Education Topics (1 paper), Technology-Enhanced Education Studies (1 paper) and Gender and Technology in Education (1 paper). The work is most often cited by research in Hardware and Architecture (100 citations), Computer Networks and Communications (191 citations), Information Systems (110 citations), Industrial and Manufacturing Engineering (33 citations) and Applied Psychology (3 citations). Jay C. Smith has collaborated with scholars based in United States, Saudi Arabia and Jordan. Frequent co-authors include Howard Jay Siegel, Anthony A. Maciejewski, Edwin K. P. Chong, Sudeep Pasricha, Bin Ye, Andrew M. Sutton, Amin Alqudah, Rinku Dewri, Haonan Wang and Gerhard Fischer. Their work appears in journals such as Journal of Parallel and Distributed Computing, Future Generation Computer Systems, Parallel Computing, IEEE Transactions on Parallel and Distributed Systems and The Journal of Supercomputing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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